The difference in camera projection model, equirectangular projection (see Figure REF (a)) vs. perspective projection, can be resolved by integrating spherical geometry into the disparity calculation and cost volume fusion procedure. In this paper, we propose a novel Spherical Warping Layer specifically designed for spherical geometry as a solution (Section REF ). Moreover, the distortion issue can be addressed by applying distortion-aware convolutions [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}. Hence, in this section we will mainly discuss the difference in FoV settings. Comparing with perspective images, 360 images have much larger FoVs (\(360^{\circ }\)  horizontally, \(180^{\circ }\)  vertically). A 360 image encodes almost every piece of visual information of the scene except occluded areas, while perspective images suffer from information loss near the image boundaries in addition to occlusions. This could be a great advantage for novel view synthesis of 360 images.
